robust Lasso for heavy-tailed error and outlier
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Dec 5, 2025 - R
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robust-regresssion
Here are 29 public repositories matching this topic...
Regression for Boston Housing price prediction: Linear, Multiple, Robust, OLS, Regularization (Ridge-l1 norm, LASSO-l2 norm, ElasticNet)
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Mar 4, 2019 - Jupyter Notebook
A robust regression study using the Density Power Divergence estimator for multiple linear regression, with simulation experiments, efficiency analysis, outlier detection, and real-data applications implemented in R.
r estimation statistical-inference outlier-detection statistical-models regression-analysis robust-regresssion computational-statistics simulation-study multiple-linear-regression robust-statistics density-power-divergence
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Aug 16, 2026 - R
Applied analysis on the Bayesian student-t "Robust" regression model with Jeffrey's prior. Compared its model performance and robustness of posterior distributions with the Gaussian model when outliers are present.
outliers bayesian monte-carlo-simulation bayesian-inference bayesian-statistics markov-chain-monte-carlo gibbs-sampling regression-analysis robust-regresssion student-t-regresssion jeffreys-prior non-informative-priors scale-mixtures-of-normals
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Dec 7, 2018 - R
Code accompanying the paper "Globally Optimal Learning for Structured Elliptical Losses", published at NeurIPS 2019
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Jan 4, 2020 - Python
In this repository, using the statistical software R, are been analyzed robust techniques to estimate multivariate linear regression in presence of outliers, using the Bootstrap, a simulation method where the construction of sample distribution of given statistics occurring through resampling the same observed sample.
bootstrap r statistics outliers frb multivariate-linear-regression robust-regresssion outliers-detection
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Nov 27, 2019 - R
In this project I have implemented 15 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.
linear-regression ridge-regression regression-models stochastic-gradient-descent gradient-boosting lasso-regression knn-regression robust-regresssion random-forest-regression xgboost-regression regression-ana lightgbm-regressor catboostregressor elasticnet-regression theil-sen-regression adaboost-regression
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Mar 16, 2023 - Jupyter Notebook
Project where the Linear Regression algorithm is used
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Apr 2, 2025 - Jupyter Notebook
A collection of projects completed in STAT courses.
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Jan 14, 2022 - HTML
2021 Fall term, CSE 701 Project 03
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Dec 21, 2021 - C++
Generalized fiducial inference for low-dimensional robust linear regression.
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Mar 15, 2021 - R
Exploratory Data Analysis in R on UN Happiness Report and World Bank Metrics from 2019
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Jan 24, 2025
Robust_OLS_Model_and_Entity_Fixed_Effects_Model
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Aug 15, 2026 - Jupyter Notebook
This‬†project‬†was carried out as part of fulfilment of the B.Sc. (Hons.) Statistics degree at Sister Nivedita University which explores‬†the‬†application‬†of‬†various‬†linear‬†regression‬†techniques‬†for‬†predicting‬ †wine‬†quality
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Sep 5, 2025 - Jupyter Notebook
Regression algorithm implementaion from scratch with python (OLS, LASSO, Ridge, robust regression)
python regression regularization maximum-likelihood-estimation lasso-regression quantile-regression robust-regresssion l1-regularization ordinary-least-squares l2regularization
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Dec 23, 2024 - Python
Python implementation of RANSAC algorithm
python linear-regression regression curve-fitting ransac robust-regresssion random-sample-consensus ransac-algorithm poly-fit
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Dec 2, 2021 - Jupyter Notebook
ML Coursework focused on solving Computational Finance and Risk Assessment models
finance machine-learning validation time-series matrix-factorization ridge-regression svd risk-assessment returns lasso-regression robust-regresssion state-space-model financial-models
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Nov 22, 2017 - Jupyter Notebook
R Package implementing the Penalized Elastic Net S- and MM-Estimator for Linear Regression
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Feb 13, 2026 - C++
This is the implementation of the five regression methods Least Square (LS), Regularized Least Square (RLS), LASSO, Robust Regression (RR) and Bayesian Regression (BR).
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Mar 1, 2019 - Python
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